I-Corps: Safe Driving Routing Tool

这个i-Corps项目的更广泛的影响/商业潜力是开发一种安全的路由工具，该工具使用多源数据和相关数据融合来提供基于实时交通、天气和道路状况的风险评分。随着2021年美国发生的交通事故夺走了42939人的生命，将更安全的路线分析整合到导航工具中可以彻底改变地图行业，提高道路安全。这项技术不仅是个人用户寻求更安全路线的工具。交通当局可以利用这些技术和数据来实施更有效的道路安全倡议。此外，采用这一工具可以激励更安全的驾驶行为，潜在地降低保险费，使用户和保险公司都受益。除了直接影响之外，该项目还为学术和研究机构之间的合作和知识共享开辟了途径。这个i-Corps项目基于开发一个道路风险评分系统，用于最佳路线绘制。该技术将安全系统方法集成到路线选择中。该工具结合了与路况、交通、撞车和天气相关的各种历史和实时来源的数据。该解决方案采用强大的多源数据融合策略来确定安全风险。此外，该系统采用先进的计算机视觉和人工智能(AI)算法，为不同路线生成实时安全概率分数。这一实时评估标志着在确保用户安全方面取得了重大进展，显著提高了提供给用户的安全信息的准确性和可靠性。这些信息使用户能够对他们的路线和旅行计划做出明智的、数据驱动的决定，并确保该工具能够很好地了解各种路线上的潜在危险。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is the development of a safe routing tool that uses multi-source data and associated data fusion to provide risk scoring based on real-time traffic, weather, and roadway conditions. With traffic crashes claiming 42,939 lives in the U.S. in 2021, integrating safer route analyses into navigation tools can revolutionize the mapping industry and enhance road safety. This technology not only serves as a tool for individual users seeking safer routes. Transportation authorities can leverage the technology and data for more effective road safety initiatives. Additionally, the adoption of this tool can incentivize safer driving behaviors, potentially leading to reduced insurance premiums, benefiting both users and insurance companies. Beyond its immediate impact, the project opens avenues for collaboration and knowledge-sharing among academic and research institutions.This I-Corps project is based on the development of a roadway risk scoring system for optimal route mapping. The technology integrates a safe system approach into route selection. The tool combines data from various historical and real-time sources related to road conditions, traffic, crashes, and weather. The solution employs a robust multi-source data fusion strategy to determine safety risks. In addition, the system employs advanced computer vision and artificial intelligence (AI) algorithms to generate real-time safety probability scores for different routes. This real-time evaluation marks a significant advancement in ensuring user safety, significantly improving the accuracy and reliability of the safety information provided to users. This information empowers users to make informed, data-driven decisions about their routes and travel plans and ensures that the tool offers a good understanding of potential hazards on various routes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.